Purpose: Jack Cui's website is a personal website focused on the Internet and sharing knowledge related to artificial intelligence, mainly covering experience-based tutorials on machine learning, deep learning, web crawlers, and more. The website's aim is to share the most practical experience with the readers who need it most.
Main capabilities and content directions: According to the website's public content, the tutorials and articles cover directions such as machine learning, deep learning, and web crawlers. Example content includes: Illustrated Object Detection Algorithm YOLOv1 (nanny-level tutorial), Nanny-level Tutorial: Illustrated Transformer, Machine Learning Practical Tutorials (such as Tree Regression Basics: CART Algorithm and Tree Pruning, Linear Regression Basics: Predicting Abalone Age, Linear Regression Advanced: Predicting Second-hand Prices of LEGO Toy Sets, AdaBoost, a Powerful Tool for Improving Classifier Performance), An Article to Get You Started with Deep Learning, Python3 Web Crawler Series (such as shopping cart, video download, comic download, dynamic loading and anti-crawler, etc.), Algorithm Basics (An Intuitive Explanation of BFS and DFS), Convolutional Neural Network (CNN) Model Structure Visualization Tool, Quickly Set Up a Super Simple HTTP Service with One Command, Website Maintenance (Using iptables and ipset to Block Access from Malicious IPs), Website Beautification (Adding a Music Player to WordPress, Hitokoto Classic Quote Feature), Website Construction (Quick Personal Website Setup Tutorial), etc. The website also publishes Internet- and AI-related news articles, and has a user registration page and password recovery feature.
How to use: As a website, users can access it through a browser and browse the above tutorials and articles. The website provides a "Register Now" entry; registration requires entering a username or email address, and the password can be recovered via email. No other usage steps or tool invocation methods are currently provided.
Applicable scenarios: Suitable for readers who wish to learn knowledge such as machine learning, deep learning, and web crawlers, or refer to content such as personal website setup, WordPress beautification, and algorithm basics.
Limitations: The materials do not explain specific information such as fees, prices, platforms, or effects; the relevant content is subject to the website's public articles.
